THE USE OF ARTIFICIAL INTELLIGENCE IN PREDICTING CRIMINAL BEHAVIOUR: A COMPARATIVE STUDY IN NIGERIA AND INDIA

Authors

Samuel Princewill Asuquo Department of Psychology, Nasarawa State University, Keffi, Nasarawa State, Nigeria
Anjana Sinha Department of Psychology, Kristu Jayanti College, Autonomous, Bangalore, India

Artificial Intelligence, Criminal Prediction, Predictive Analytics, Law Enforcement, Sociocultural Context

The study examined the application of artificial intelligence (AI) to crime

prediction and the identification of criminal behaviours. Artificial Intelligence has revolutionary

possibilities to improve accuracy and productivity by utilising sophisticated and complex data

analytics to identify trends and predict criminal activity. Even though AI can analyse information

faster and make predictions more accurately than traditional techniques, scholars and practitioners

have raised questions about algorithmic bias, moral quandaries, and data privacy. This paper

examines how AI is utilised to predict criminal behaviour in Nigeria and India, highlighting the

challenges posed by complex legal, societal, and infrastructural factors. The paper also explored

AI's relative advantages in trend analysis rather than individual behaviour prediction. The results

underscore the need for systems that are open, equitable, and contextually sensitive. The study

emphasises the importance of combining human judgement with AI-driven insights, encouraging

cooperation between law enforcement, lawmakers, and tech developers to ensure effective and

ethical crime prevention strategies.